Description
Book SynopsisThis book provides an overview on the current progresses in artificial intelligence and neural nets in data science. The book is reporting on intelligent algorithms and applications modeling, prediction, and recognition tasks and many other application areas supporting complex multimodal systems to enhance and improve human–machine or human–human interactions. This field is broadly addressed by the scientific communities and has a strong commercial impact since investigates on the theoretical frameworks supporting the implementation of sophisticated computational intelligence tools. Such tools will support multidisciplinary aspects of data mining and data processing characterizing appropriate system reactions to human-machine interactional exchanges in interactive scenarios. The emotional issue has recently gained increasing attention for such complex systems due to its relevance in helping in the most common human tasks (like cognitive processes, perception, learning, communication, and even "rational" decision-making) and therefore improving the quality of life of the end users.
Table of Contents1. Michele Scarpiniti, Edoardo Massaro, Danilo Comminiello and Aurelio Uncini: Generating New Sounds by Vector Arithmetic in the Latent Space of the MelGAN Architecture2. Kamyar Zeinalipour and Marco Gori: Graph Neural Networks for Topological Feature Extraction in ECG Classification3. Francesco Camastra, Angelo Casolaro and Gennaro Iannuzzo: Manifold Learning by a Deep Gaussian Process Variational Autoencoder4. Marcos Faundez-Zanuy, Anna Faura-Pujol, Hector Montalvo-Ruiz, Alexia Losada-Fors, Pablo Genovese and Pilar Sanz-Cartagena: Analysis of Sensors for Movement Analysis5. Giansalvo Cirrincione, Vincenzo Randazzo, Pietro Barbiero, Gabriele Ciravegna and Eros Pasero: Dual Seep Clustering6. Vincenzo Randazzo, Gaia Marchetti, Carla Giustetto, Erica Gugliermina, Rahul Kumar, Giansalvo Cirrincione, Fiorenzo Gaita and Eros Pasero: Learning-Based Approach to Predict Fatal Events in Brugada Syndrome7. Francesco Prinzi, Marco Insalaco, Salvatore Gaglio and Salvatore Vitabile: Breast Cancer Localization and Classification in Mammograms Using YoloV58. Jonathan Melchiorre, Marco Martino Rosso, Raffaele Cucuzza, Emanuela D'Alto, Amedeo Manuello Bertetto and Giuseppe Carlo Marano: Deep Acoustic Emission Detection Trained on Seismic Signals9. Elena Sibilano, Michael Lassi, Alberto Mazzoni, Vitoantonio Bevilacqua and Antonio Brunetti: A Deep Learning Framework for the Classification of Pre-Prodromal and Prodromal Alzheimer’s Disease Using Resting-State EEG signals10. Giovanni Di Gennaro, Amedeo Buonanno, Francesco Verolla, Giovanni Fioretti, Francesco A. N. Palmieri, and Krishna R. Pattipati: Imitation Learning Through Prior Injection in Markov Decision Processes 11. Giovanni Di Gennaro, Amedeo Buonanno, Marilena Baldi, Enzo Capoluongo, and Francesco A.N. Palmieri: Vision-Based Human Activity Recognition Methods Using Pose Estimation12. Stefano Fiscale, Laura Inno, Angelo Ciaramella, Alessio Ferone, Alessandra Rotundi, Pasquale De Luca, Ardelio Galletti, Livia Marcellino and Giovanni Covone: Identifying Exoplanets in TESS Data by Deep Learning13. Vincenzo Bevilacqua, Antonio Di Marino, Angelo Ciaramella, Anastasia Angela Biancardi, Giorgio Budillon, Paola de Ruggiero, Emanuele Della Volpe, Luigi Gifuni, Danilo Mascolo, Stefano Pierini and Enrico Zambianchi: Computational Intelligence for Marine Litter Recovery14. Alessio Ferone, Marco Lazzaro, Vincenzo Mariano Scarrica, Angelo Ciaramella and Antonino Staiano: A Synthetic Dataset for Learning Optical Flow in Underwater Environment15. Giorgia Ghione, Marta Lovino, Elisa Ficarra and Giansalvo Cirrincione: An Interpretable BERT-Based Architecture for SARS-CoV-2 Variant Identification16. Michele Fedrizzi and Silvio Giove: Competence-Based Coalition Choice, a Non-Additive Approach17. Michele La Rocca, Cira Perna, Marilena Sibillo and Antonio Vignes: Forecasting Mortality with Autoencoders: An Application to Italian Mortality Data.18. Michele Scarpiniti, Edoardo Bini, Marco Ferraro, Alessandro Giannetti, Danilo Comminiello, Yong-Cheol Lee and Aurelio Uncini: Leaky Echo State Network for Audio Classification in Construction Sites19. Sidhant Kumar, Vijayeskar Kumar, Krishnil Ram, Michael Wood, Giansalvo Cirrincione and Rahul Kumar: ECG Signal Classification Using Long-Short-Term-Memory Neural Networks20. Michele Lo Giudice, Nadia Mammone, Cosimo Ieracitano, Umberto Aguglia, Danilo Mandic and Francesco Carlo Morabito: A Convolutional Neural Network Approach for the Classification of Subjects with Epileptic Seizures vs Psychogenic Non-Epileptic Seizures and Control Based on Automatic Feature Extraction from Empirical Mode Decomposition of Interictal EEG Recordings21. Nicola Camatti, Andrea Ellero and Paola Ferretti: Commerce Districts: Conditions for Customer Overall Satisfaction in a Multi-Attribute Framework22. Andrea Ellero, Paola Ferretti, and Elena Zocchia: Problematic Merging and Cartels: A Collusion Risk Factors Analysis
